ChatGPT: Possibilities and Pitfalls

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ChatGPT: Possibilities and Pitfalls by Jonathan Hassell, Tim O'Reilly, Jordi Ribas, Thomas Dohmke, Malte Pietsch, Matt Welsh, Blaise Agüera y Arcas, David Wu, Adam Witwer, Lucky Gunasekara, Andy Hsieh

Released : May 2023
Manufacturer : O'Reilly Media, Inc.
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Author : Jonathan Hassell, Tim O'Reilly, Jordi Ribas, Thomas Dohmke, Malte Pietsch, Matt Welsh, Blaise Agüera y Arcas, David Wu, Adam Witwer, Lucky Gunasekara, Andy Hsieh
Duration : 3h 50m
Handout Type : Video Lesson
Language : English + subtitles

Description: Reaching a million users in less than a week, ChatGPT has ignited discussions about the potential of artificial intelligence to disrupt industries from law to academia, art to medicine. OpenAI and Google, Meta, and others are releasing large language models that are fueling innovations in the development of search engines, recommendation systems, and tools we use to generate content from text, images, and music to code and software. While the possibilities for new products and services built on these state-of-the-art AI systems are endless, business leaders and machine learning practitioners alike are searching for answers on how to get the most of these technologies for their work. Important questions are also emerging around the limitations and potential obstacles to integrating new large AI models such as ChatGPT into existing systems. Join our expert speakers to discuss these issues and learn how you can leverage ChatGPT and other large AI models to build new products, increase productivity, and more.

What you'll learn and how you can apply it
You're a current or future machine learning product owner or machine learning practitioner, or you're simply interested in the state of the art of artificial intelligence.
You want to learn more about ChatGPT and other large AI models and how they will impact other technologies as well as nontechnological fields.
This recording of a live event is for you because.
Discover possibilities for ChatGPT and large language models
Uncover pitfalls and avoid missteps as you integrate this new frontier in AI into organizations of all types
Learn actionable suggestions on dealing with large datasets and data augmentation, various model architectures, domain adaptation, and inference challenges
Content
001. Jordi Ribas and Tim O'Reilly Reshaping Search with Bing
002. Thomas Dohmke and Tim O'Reilly The Future of Developer AI and Copilot X
003. Malte Pietsch Connecting GPT with Your Data-How to Tailor Responses to Your Use Case and Avoid Hallucination (Sponsored by deepset)
004. Matt Welsh Building Applications Using Large Language Models
005. Blaise Agüera y Arcas Reassessing Intelligence-Insights from Large Language Models and the Quest for General AI
006. David Wu Revolutionizing Financial Advisory
007. Adam Witwer, Lucky Gunasekara, and Andy Hsieh Using LLMs to Enhance Personalized Learning

Video : AVC, 1280x720, 16:9, 30.000 fps, 3000 kb/s (0.017 bit/pixel)
Audio : AAC, 44.1 KHz, 2 channels, 128 kb/s, CBR









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